Explanation-visualised deep learning model for accessory pathway localisation using 12-lead electrocardiography

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Explanation-visualised deep learning model for accessory pathway localisation using 12-lead electrocardiography

Session: Best of e-Cardiology

Topic: Artificial Intelligence (Machine Learning, Deep Learning)

Speaker: Mr C. Chan (London, GB)

Event: EHRA 2021

Congress Presentation

About the speaker

Mr Cheng Pou Chan

Imperial College Healthcare NHS Trust, London (United Kingdom of Great Britain & Northern Ireland)

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3 more presentations in this session

The TeleCheck-AF project on remote app-based management of atrial fibrillation during the COVID-19 pandemic: Patient experiences.

Speaker: Associate Professor D. Linz (Maastricht, NL)

Electrocardiogram-based mortality prediction in patients with COVID-19 using machine learning

Speaker: Mr H. Bleijendaal (Amsterdam, NL)

Head-to-head comparison of proprietary PPG and single-lead ECG algorithms for atrial fibrillation detection

Speaker: Doctor H. Gruwez (Genk, BE)

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Best of e-Cardiology

Speakers: Mr C. Chan, Associate Professor D. Linz, Mr H. Bleijendaal, Doctor H. Gruwez

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About the event

EHRA 2021

23 April - 25 April 2021

Sessions Presentations

Congress

Explanation-visualised deep learning model for accessory pathway localisation using 12-lead electrocardiography

About the speaker

Mr Cheng Pou Chan

3 more presentations in this session

The TeleCheck-AF project on remote app-based management of atrial fibrillation during the COVID-19 pandemic: Patient experiences.

Electrocardiogram-based mortality prediction in patients with COVID-19 using machine learning

Head-to-head comparison of proprietary PPG and single-lead ECG algorithms for atrial fibrillation detection

Access the full session

Best of e-Cardiology

About the event

EHRA 2021

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